Uindow is a programmable browser automation tool designed for developers, QA engineers, data analysts, and AI practitioners who need reliable, undetectable web automation. Its core value lies in delivering interactions that websites perceive as genuinely human, enabling automation on sites that block traditional scripts. By running entirely on the user's own machine and IP, Uindow avoids the common pitfalls of shared datacenter pools and cloud browsers that get flagged instantly. The product combines a record-first workflow, a built-in IDE for custom modules, and native support for AI agents through the Model Context Protocol, making it accessible to both programmers and non-programmers.
Traditional browser automation tools like Selenium or Playwright are easily detected by modern websites because their interactions lack human nuance. They produce synthetic mouse movements, robotic typing cadence, and originate from recognizable IP ranges, leading to captchas, blocks, or outright denial of service. Uindow solves this by ensuring every click, keystroke, and scroll is a trusted OS-level event with natural non-linear paths and realistic timing. There are no stealth plugins to maintain or ghost-cursor hacks to bolt on; the engine simply behaves like a person. For users who depend on scraping, testing, or monitoring sites that aggressively block bots, this unblockability is a game-changer.
Human-grade input stands as Uindow's foundational feature. Every interaction is synthesized as an OS-level event, so websites see a real input device. Mouse movements follow natural, non-linear paths rather than straight lines, and typing cadence varies realistically. File uploads use the native file picker, and dropdowns and multi-selects change exactly as a person would. The benefit is immediate: no detection, no captchas, no blocks. Users don't need to configure stealth settings—it is simply how the engine works, making automations reliable on even the most protective websites.
The record-first workflow accelerates automation development. Users simply hit record, browse normally—clicking, scrolling, uploading, downloading—and Uindow transcribes every action into clean, deterministic JavaScript. No AI guessing or syntax learning required. Right-clicking any element exposes over half the SDK through precise menus with dialogs for debugging states, functions, or snippets. This approach dramatically reduces the time to build automations, allowing both novice and expert users to create complex workflows in minutes. The built-in IDE with autocomplete, linting, and formatting further streamlines customization.
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Dual-vision equips AI agents with the right perspective. For canvas-only apps where pixels are all that exist, Uindow provides screenshot vision. For standard web interfaces, it offers a flat, viewport-aware list of all on-screen elements, avoiding the limitations of accessibility trees. This flexibility ensures agents stay accurate on sites that hide or obfuscate their structure. Additionally, the open-source CSS selector generator, Pinpoint, allows users to explore page structure and generate the single best CSS selector for any element in one click, eliminating brittle selectors.
Uindow models every automation as a finite-state machine (FSM), not a linear script. Real workflows branch, retry, and loop; linear scripts snap the moment a page changes. The FSM approach handles messy, real-world paths—page loads, failures, dynamic content—without breaking. Users also benefit from a persistent global store for cross-run data and a run-level store that resets cleanly each time, enabling workflows that build on themselves. Scheduling allows automations to run at specific times or recurring intervals, and steps can be deferred. Human-in-the-loop pauses at critical junctures (logins, captchas, 2FA) and resumes automatically.
Concrete use cases include automating form submissions for data entry, scraping dynamically rendered content without getting blocked, monitoring e-commerce price changes, conducting end-to-end testing of web applications, and enabling AI agents to perform web-based tasks like filling reports or extracting insights. Users get evidence from every run: screenshots, full video recordings, downloaded files, structured tables, and detailed logs. Recording continues through page loads and failures, so nothing is missed. Results are searchable, filterable, exportable, and stored as real files on the local machine.
Uindow targets developers, QA engineers, data analysts, AI/ML practitioners, business analysts, and operators who need reliable browser automation without detection. It runs on desktop (Windows, macOS, Linux) and works offline for core features. The tech stack includes custom Chromium-based engine, built-in IDE, MCP server for AI agents, and CLI for CI/CD integration. Pricing starts with a free plan (one workspace, limited daily runs) and scales to Pro (€15/month, unlimited runs) and Team (€79/month, up to 9 agents per computer). All paid plans include unlimited usage with no metered browser-hours. Uindow delivers a secure, private, and unblockable automation platform that truly behaves like a human.
Uindow is built for developers, QA engineers, data analysts, AI/ML practitioners, business analysts, and operations professionals who need to automate browser tasks without triggering detection or bans. It suits teams running CI/CD pipelines that require undetectable browser steps, researchers scraping data from anti-bot websites, and anyone building AI agents that interact with web interfaces. Non-developers can use recorded modules and ready-made automations from the repository, while advanced users write custom JavaScript in the built-in IDE. The tool serves individuals and organizations on desktop (Windows, macOS, Linux) looking for a private, local-first automation platform.